Columbia (AR) Investor Pulse Report (2025-Q4)

Real Estate comprehensive investment analysis of investor activity in the Columbia (AR) single-family residential housing market. Discover ownership trends, transaction patterns, and market insights.

Market Overview

Total SFR Properties in Columbia (AR)
6,152
Total Investors in Columbia (AR)
1,761
Investor Owned SFR in Columbia (AR)
1,953(31.7%)
Individual Landlords
Landlords
1,555
SFR Owned
1,419
Corporate Landlords
Landlords
206
SFR Owned
551
Understanding Property Counts

Distinct Count Methodology: The total 1,953 represents distinct properties — if 2+ landlords co-own the same property, it's counted only once. This provides the most accurate representation of investor-owned SFR properties.

Why totals don't sum: When broken down by Individual vs Corporate ownership (or by tier), properties with co-ownership across categories are counted once per category. For example, if a property is co-owned by an individual AND a corporate landlord, it appears in both counts. This is why Individual + Corporate totals may exceed the distinct total by 2-4%, and percentages may sum to 100-104%.

Market Visualization

Chart Section2 Coverage
Chart Section3 Ownership Donut
Chart Section4 Distribution

Key Market Insights

Small Landlords Dominate Columbia County's Investor Market, Pivoting to Net Sellers in Q4
Investors own 31.7% of SFRs in Columbia County, with mom-and-pop landlords (1-10 properties) controlling 88.2% of that portfolio and zero institutional presence. In Q4, investor buying slowed to 6.6% of sales, securing a massive 74.4% price discount compared to homeowners, and for the first time in two years, landlords became net sellers.
Landlord Owned Current Holdings
Investors own 1,953 SFR properties in Columbia County, with individuals holding a 72.7% majority.
Cash purchases vastly outweigh financing, with 1,625 properties owned outright compared to just 328 that are financed. The portfolio is intensely rental-focused, with 1,911 of 1,953 properties (97.8%) classified as rented.
Landlord vs Traditional Homeowners
Landlords paid 74.4% less than homeowners in Q4, securing a staggering $136,222 average discount.
The landlord price advantage widened dramatically, jumping from an 18.0% discount in Q3 to 74.4% in Q4. This suggests landlords are targeting deeply distressed or lower-quality properties. Despite the low Q4 price, the average landlord acquisition price for all of 2025 ($124,823) was higher than in 2024 ($91,257).
Current Quarter Purchases
Landlords purchased 6.6% of all SFR properties sold in Q4, representing a total of 5 acquisitions.
Mom-and-pop landlords (1-10 properties) accounted for 40.0% of all investor purchases. Institutional investors with over 1,000 properties made zero acquisitions, showing a complete absence from the market.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) control a commanding 88.2% of all investor-owned SFRs.
Institutional investors with portfolios of 1,000 or more properties have zero presence in this market, owning 0.0% of the inventory. Single-property landlords alone own 1,194 properties, representing 59.5% of all investor-held housing.
Ownership by Tier & Type
Companies become the majority property owners starting at the 6-10 property tier with a 64.2% share.
While individuals dominate smaller portfolios, owning 90.2% of single-property rentals, their share cedes to companies as portfolios grow. There are no institutional-level companies or individuals operating in this market.
Geographic Distribution
Investor activity is heavily concentrated in Magnolia's 71753 zip code, which holds 1,331 properties.
While 71753 leads in raw count, other zip codes show higher penetration rates, including 71752 (38.9%) and 71764 (37.9%). This indicates a broad and significant investor presence across the entire county.
Historical Transactions
Landlords reversed their position and became net sellers in Q4 2025 after two years of net buying.
The shift was stark, moving from a net acquisition of 22 properties in Q3 to a net disposition of 3 properties in Q4. Despite the Q4 reversal, landlords remained strong net buyers for the full year, adding 62 more properties than they sold in 2025.
Current Quarter Transactions
Landlords were involved in 6.7% of all Q4 property transactions, with zero deals occurring between investors.
New, single-property landlords paid a higher average price ($53,000) than their slightly larger counterparts ($22,000), suggesting they targeted different types of properties. No institutional investors were active in the market.

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Current Holdings Portfolio

Analysis of landlord property holdings by type, financing method, and owner category

Chart Section5 Holdings
Key Insight
Investors own 1,953 SFR properties in Columbia County, with individuals holding a 72.7% majority.
Detailed Findings

Investor ownership is a significant factor in Columbia County, with landlords holding 1,953 single-family residential properties, which constitutes 31.7% of the total 6,152 SFRs in the market.

Individual investors form the bedrock of the rental market, owning 1,419 properties, or 72.7% of the total investor portfolio. This leaves company-owned properties at 551, a 28.2% share.

The entity count further underscores the dominance of small-scale landlords, with 1,555 individual landlords compared to just 206 companies, a ratio of more than seven individuals for every one corporate entity.

Cash is the preferred method of acquisition and holding, with 1,625 properties (83.2%) owned outright. In contrast, only 328 properties, or 16.8% of the investor portfolio, are financed.

The investor portfolio is almost exclusively dedicated to rentals. A total of 1,911 properties are classified as rented, representing 97.8% of all investor-owned SFRs and signaling a clear business focus on rental income.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords paid 74.4% less than homeowners in Q4, securing a staggering $136,222 average discount.
Detailed Findings

In Q4 2025, landlords acquired properties at a remarkably low average price of $46,800, creating a massive 74.4% discount compared to the traditional homeowner price of $183,022. This price gap translates to a $136,222 savings for investors on the average purchase.

The price advantage for investors has not been static; it has widened significantly throughout the year. The discount escalated from 18.0% in Q3 and 34.1% in Q2 to the current 74.4% in Q4, indicating a strategic shift towards lower-priced, possibly distressed, assets.

This trend of targeting lower-cost properties is a recent quarterly development, as the year-over-year price trend shows appreciation. The average landlord purchase price for all of 2025 was $124,823, a notable increase from the 2024 average of $91,257.

Comparing investor prices to the pandemic-era boom (2020-2023), where the average price was $81,069, current annual pricing reflects significant market appreciation, even with the aggressive discounting seen in the most recent quarter.

Chart Section6 Prices
Chart Section6 Prices Alt
Chart Section6 Trends
Chart Section6 Yoy Comparison

Current Quarter Purchase Summary

Analysis of Q4 2025 purchase activity by investor tier and type

Chart Section7 Purchases
Chart Section7 Tiers
Key Insight
Landlords purchased 6.6% of all SFR properties sold in Q4, representing a total of 5 acquisitions.
Detailed Findings

Investor purchasing activity represented a small fraction of the overall market in Q4 2025, with landlords acquiring 5 of the 76 total SFRs sold, a market share of just 6.6%.

Small-scale landlords were the only active buyers this quarter. Investors in the 'mom-and-pop' category (1-10 properties) made 2 purchases, accounting for 40.0% of all landlord activity.

The remaining 60.0% of activity (3 properties) came from a single entity in the small-medium (11-20 properties) tier, further highlighting the lack of participation from larger investors.

The market saw the entry of 4 new landlord entities who purchased properties in the single-property tier, indicating a continued, albeit small, interest from new market participants.

Institutional investors (1,000+ properties) were completely inactive, making zero purchases and reinforcing the local, small-scale nature of Columbia County's investor landscape.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords (1-10 properties) control a commanding 88.2% of all investor-owned SFRs.
Detailed Findings

The investor landscape in Columbia County is overwhelmingly dominated by small landlords. Those owning 1-10 properties (Tiers 01-04) collectively control 88.2% of all investor-owned SFRs.

Single-property landlords are the largest group, holding 1,194 properties. This tier alone accounts for 59.5% of the entire investor portfolio, making first-time or small-scale investors the backbone of the rental market.

The ownership share sharply declines as portfolio size increases. Mid-size landlords (11-100 properties) own a combined 11.6% of the inventory, while large investors (101-1000 properties) hold a negligible 0.1% (2 properties).

In stark contrast to national narratives, institutional investors with 1,000+ properties have no footprint in this market, with a 0.0% ownership share.

This distribution reveals a highly fragmented market composed almost entirely of local and regional investors, with no influence from large-scale corporate landlords.

Chart Section8 Distribution
Chart Section8 Prices
Chart Section8 Prices Q4
Chart Section8 Yoy Comparison

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Ownership by Tier & Owner Type

Breakdown of individual vs corporate ownership across portfolio tiers

Chart Section9 Ownership
Chart Section9 Growth
Chart Section9 Growth Q4
Chart Section9 Yoy Comparison
Key Insight
Companies become the majority property owners starting at the 6-10 property tier with a 64.2% share.
Detailed Findings

Ownership structure shows a clear pattern based on portfolio size, with a distinct crossover point where companies overtake individuals. This transition occurs in the 6-10 property tier, where companies own 145 properties, a 64.2% majority share.

For smaller portfolios, individual ownership is the standard. Individuals own 1,089 properties (90.2%) in the single-property tier and 119 properties (83.8%) in the two-property tier.

The declining influence of individual owners continues into the 3-5 property tier, where they still hold a majority but a reduced one at 66.0%.

This data illustrates a common growth trajectory: individuals start as landlords, but scaling into larger portfolios is more frequently accomplished under a corporate structure for liability and financial purposes.

In the small-medium tier of 11-20 properties, companies solidify their dominance, holding a 63.6% share of the properties.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is heavily concentrated in Magnolia's 71753 zip code, which holds 1,331 properties.
Detailed Findings

Geographic analysis reveals extreme concentration of investor ownership within Columbia County. The 71753 zip code (Magnolia) is the epicenter, containing 1,331 landlord-owned properties, which is 68.2% of the county's entire investor portfolio.

Despite this concentration, investor ownership is a widespread phenomenon throughout the county. The investor ownership rate in 71753 is a substantial 30.5%.

However, several other zip codes exhibit even higher market penetration, signaling deep investor saturation in smaller communities. The 71752 zip code leads with a 38.9% investor ownership rate, followed closely by 71764 at 37.9% and 71740 at 37.0%.

The top five zip codes by property count collectively hold 1,921 properties, representing 98.4% of all investor-owned homes in the county.

This data highlights a market where investors play a major role not just in the main town, but across nearly all local housing markets within the county.

Chart Section10 Top Regions
Chart Section10 Top Pct

Historical Transactions

Buy/sell transaction trends over time for all landlords and institutional investors

Chart Section11 Buysell
Chart Section11 Buysell Price
Chart Section11 Yoy All Landlords
Chart Section11 Institutional
Chart Section11 Institutional Price
Key Insight
Landlords reversed their position and became net sellers in Q4 2025 after two years of net buying.
Detailed Findings

A significant shift in market behavior occurred in Q4 2025, as landlords became net sellers for the first time in at least two years. They sold 10 properties while only acquiring 7, resulting in a net disposition of 3 properties.

This Q4 activity marks a sharp reversal from the preceding quarters. In Q3 2025, landlords were strong net buyers, acquiring 32 properties and selling only 10 for a net gain of 22. Similarly, in Q2, they achieved a net gain of 22 properties.

The slowdown in Q4 was driven by a sharp drop in acquisition volume (from 32 in Q3 to 7 in Q4) rather than an increase in selling, which remained stable at 10 properties sold.

Despite the end-of-year cooling, landlords were net buyers for 2025 as a whole, with 94 purchases against 32 sales, for a net increase of 62 properties to their portfolios.

This annual performance was nearly identical to 2024, when landlords were net buyers of 63 properties, indicating that the Q4 slowdown is a recent development and not part of a longer-term trend yet.

Current Quarter Transactions

Q4 2025 transaction analysis by tier, price, and inter-landlord activity

Key Insight
Landlords were involved in 6.7% of all Q4 property transactions, with zero deals occurring between investors.
Detailed Findings

Landlord transactions accounted for 7 of the 105 total SFR transactions in Q4, representing a 6.7% market share of activity.

Activity was exclusively concentrated among small investors. The single-property tier was most active with 4 transactions, followed by the small-medium (11-20 properties) tier with 3 transactions.

A notable pricing difference emerged between the tiers. Single-property buyers paid an average of $53,000 per property, more than double the $22,000 average paid by the small-medium investor, indicating different acquisition strategies or asset targets.

The data reveals a complete lack of inter-investor trading this quarter. One hundred percent of landlord purchases (7 properties) came from the non-landlord market, as 0% were 'Bought From Landlords'.

Consistent with ownership data, institutional investors (1,000+ properties) logged zero transactions, underscoring their absence from the county's transactional market.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Small Landlords Dominate Columbia County's 31.7% Investor Market, Securing 74% Discounts Amid Q4 Buying Slowdown.
Holdings
Landlords own 1,953 SFR properties, representing a significant 31.7% of Columbia County's market. The portfolio is dominated by individual investors holding 1,419 properties (72.7%), while companies own the remaining 551 (28.2%).
Pricing
In Q4, landlords secured properties for 74.4% less than traditional homeowners, an average discount of $136,222 per property ($46,800 vs. $183,022). This price gap widened dramatically from an 18.0% discount in the prior quarter.
Activity
Investor purchasing slowed in Q4, with landlords acquiring just 5 properties, or 6.6% of all market sales. During the quarter, 4 new landlord entities entered the market by purchasing their first rental property.
Market Share
The market is defined by small-scale ownership, as 'mom-and-pop' landlords (1-10 properties) control 88.2% of all investor housing. Institutional investors (1,000+ properties) have no presence, owning 0.0% of the market.
Ownership Type
Individual investors overwhelmingly own smaller portfolios, but companies become the majority owners in the 6-10 property tier. This signals a shift to corporate structures as landlords scale their operations.
Transactions
In a major reversal, landlords became net sellers in Q4 (7 buys vs. 10 sells), a shift from their strong net buyer position throughout 2024 and 2025. Institutional investors recorded zero transaction activity.
Market Narrative

The investor landscape in Columbia County, Arkansas, is characterized by a high concentration of small, local landlords, who own a significant 31.7% of the entire single-family housing market, a total of 1,953 properties. This market defies the national narrative of corporate dominance, with individual investors owning 72.7% of the portfolio and 'mom-and-pop' operators (1-10 properties) controlling a commanding 88.2%. Institutional investors with over 1,000 properties have zero presence here, making it a quintessential small-investor market.

In Q4 2025, investor behavior signaled a potential market shift. Purchasing activity slowed to just 6.6% of all sales, but the landlords who were active secured extreme discounts, paying 74.4% less than traditional homeowners. Most critically, landlords collectively became net sellers for the first time in two years, a stark reversal from their consistent net buying in previous quarters. This change was driven by a sharp drop in acquisitions rather than a surge in selling, suggesting a more cautious, opportunistic approach.

The key takeaway for the Columbia County housing market is its reliance on the sentiment and financial health of small-scale landlords. Their high ownership penetration makes their behavior a critical market indicator. The recent pivot to net selling, coupled with a focus on deeply discounted properties, could signal a softening in the lower-end of the market or a response to broader economic pressures. The lack of institutional capital insulates the area from large-scale acquisitions but also concentrates market risk among local investors.

About This Report

Report Methodology

This report analyzes BatchData's Investor Pulse dataset, covering single-family residential (SFR) investor activity across the United States.

Data is extracted from 15 CSV files covering ownership, transactions, and pricing trends, then analyzed using AI-powered insights.

Property Counting Methodology:

Distinct Counts: All headline totals represent distinct properties. If 2+ landlords co-own the same property, it's counted only once. This provides accurate market representation.

Category Breakdowns: When analyzing by tier (01-09), owner type (Individual/Corporate), or occupancy status, properties with co-ownership across categories are counted once per category. This causes breakdowns to sum 2-4% higher than totals, and percentages may sum to 100-104%. This is expected and reflects co-ownership patterns.

TierPropertiesCategory
01-041-10Mom-and-Pop
05-0711-100Mid-Size
08101-1000Large
091000+Institutional
About BatchData

BatchData provides comprehensive real estate data and analytics, offering insights into property ownership, investor activity, and market trends across the United States.

The Investor Pulse dataset tracks single-family residential (SFR) investor behavior at national, state, county, and MSA levels.

For more information, visit batchdata.io or explore our API documentation.

Data Freshness
Report GeneratedMarch 10, 2026 at 12:32 AM
Data PeriodQ4 2025
Geography LevelCounty
GeographyColumbia (AR)
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Chart Section2 Coverage
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Chart Section3 Ownership Donut
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Chart Section3 Ownership Bar
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Chart Section4 Distribution
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Chart Section5 Holdings
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Chart Section6 Prices
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Chart Section6 Prices Alt
Chart Section6 Prices Alt
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Chart Section6 Yoy Comparison
Chart Section6 Yoy Comparison
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Chart Section6 Trends
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Chart Section7 Purchases
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Chart Section7 Tiers
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Chart Section8 Distribution
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Chart Section8 Prices
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Chart Section8 Prices Q4
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Chart Section8 Prices 2020
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Chart Section8 Yoy Comparison
Chart Section8 Yoy Comparison
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Chart Section9 Ownership
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Chart Section9 Growth
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Chart Section9 Growth Q4
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Chart Section9 Yoy Comparison
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Chart Section10 Top Regions
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Chart Section10 Top Pct
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Chart Section11 Buysell
Chart Section11 Buysell
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Chart Section11 Buysell Price
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Chart Section11 Yoy All Landlords
Chart Section11 Yoy All Landlords
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Chart Section11 Institutional
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Chart Section11 Institutional Price
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Chart Section12 Transactions
Chart Section12 Transactions
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Chart Section12 Prices
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Chart Section12 Prices Detail
Chart Section12 Prices Detail